Resource Library

Statistical Topic

Advanced Search | Displaying 261 - 270 of 2223
  • A cartoon to be used for discussing the selection of the best explanatory variable in a regression model. The cartoon was used in the March 2017 CAUSE Cartoon Caption Contest. The winning caption was submitted by Michele Balik-Meisner, a student at North Carolina State University. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. A second winning entry, by Michael Posner of Villanova University, may be found at www.causeweb.org/cause/resources/fun/cartoons/variable-wheel-ii Three honorable mentions that rose to the top of the judging in the March competition included "No no no! You randomize AFTER you select your research topic!" by Mickey Dunlap from University of Georgia; "This isn't what I meant by random variable!" by Larry Lesser from The University of Texas at El Paso; and "We find this method of finding 'significant' predictors to be quicker than using stepwise regression and it is even slightly more reproducible." by Greg Snow from Brigham Young University.

    0
    No votes yet
  • A cartoon to be used for discussing the selection of the best explanatory variable in a regression model. The cartoon was used in the March 2017 CAUSE Cartoon Caption Contest. The winning caption was submitted by Michael Posner, from Villanova University. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. A second winning entry, by Michele Balik-Meisner, a student at North Carolina State University, may be found at www.causeweb.org/cause/resources/fun/cartoons/variable-wheel-i Three honorable mentions that rose to the top of the judging in the March competition included "No no no! You randomize AFTER you select your research topic!" by Mickey Dunlap from University of Georgia; "This isn't what I meant by random variable!" by Larry Lesser from The University of Texas at El Paso; and "We find this method of finding 'significant' predictors to be quicker than using stepwise regression and it is even slightly more reproducible." by Greg Snow from Brigham Young University.

    0
    No votes yet
  • A cartoon to be used for discussing the importance of efficiency in sampling. The cartoon was used in the April 2017 CAUSE Cartoon Caption Contest. The winning caption was submitted by Mickey Dunlap from University of Georgia. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. Three honorable mentions that rose to the top of the judging in the April competition included "Better to ask for help BEFORE you're drowning in data!," written by Larry Lesser from University of Texas at El Paso; "I guess I should have asked for more details before signing up for this "Streaming Data" workshop," written by Chris Lacke from Rowan University; and "On reflection, random sampling WITH replacement might not have been appropriate in this scenario," written by Aaron Profitt from God's Bible School and College.

    5
    Average: 5 (1 vote)
  • A cartoon to aid in discussing Simpson's paradox by providing an illustration that an association seen in smaller groups can reverse direction when the data are aggregated. The cartoon was drawn by Britsh cartoonist John Landers based on idea from Dennis Pearl of Penn State University.

    0
    No votes yet
  • A cartoon to be used as a vehicle to discuss Cornfield’s simple conditions required of a potential confounder to create a Simpson's Paradox situation The cartoon was used in the June 2018 CAUSE Cartoon Caption Contest. This winning caption was submitted by Larry Lesser from The University of Texas at El Paso. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University.

    0
    No votes yet
  • A joke to help in discussing Latin Square experimental designs. The joke was written by Larry Lesser from The University of Texas at El Paso in November, 2018.

    0
    No votes yet
  • A song to be used in discussing the idea that the null hypothesis represents the model of no effect (with several common examples). The original music and lyrics were written in 2017 by Greg Crowther from Everett Community College. The song won an honorable mention in the 2017 A-mu-sing contest. In the current 2018 version the music is by Greg Crowther and the revised lyrics and vocals are by Greg Crowther and Larry Lesser from University of Texas at El Paso.

    4
    Average: 4 (1 vote)
  • A Cartoon to illustrate the idea of interaction (cell means) plots for a two factor ANOVA.  The cartoon was created in October 2018 by Larry Lesser from The University of Texas at El Paso.  

    0
    No votes yet
  • A cartoon to be used for in discussing the Poisson model for the number of rare events in a fixed amount of time. The cartoon was used in the August 2018 CAUSE Cartoon Caption Contest. This caption received an honorable mention. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. The winning caption  in the August competition was "Always read the full informed consent document before signing up to be in a matched-pairs experiment," written by Greg Snow from Brigham Young University and may be found at https://www.causeweb.org/cause/resources/fun/cartoons/twins

    0
    No votes yet
  • A cartoon to be used for in discussing human subjects issues during a unit on designing experiments. The cartoon was used in the August 2018 CAUSE Cartoon Caption Contest. This winning caption was submitted by Greg Snow from Brigham Young University. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. An honorable mention for a caption that also rose to the top of the judging in the August competition was "The Poisson model for rare events was about to be tested," which may be found at https://www.causeweb.org/cause/resources/fun/cartoons/twins-ii

    0
    No votes yet

Pages

register